Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- McGill University
- Harvard University
- Nature Careers
- Oak Ridge National Laboratory
- Brookhaven Lab
- Durham University
- ETH Zurich
- Edith Cowan University
- European Space Agency
- King Abdullah University of Science and Technology
- Technical University of Denmark
- The University of Arizona
- University of California
- University of North Texas at Dallas
- University of Oxford
- University of Vienna
- University of Washington
- 7 more »
- « less
-
Field
-
, Computer Science, Experimental Subatomic Physics, or related fields. Relevant research experience in firmware programming (e.g. with VHDL) and resources optimization for specific FPGA architectures
-
multilayer PCB, FPGA programming, embedded systems, and preferably ASIC-design. Knowledge in Systems Engineering, particularly in Space and Defence is highly regarded. You will also demonstrate personal
-
topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
-
record, experience in the field of fiber lasers and nonlinear optics, ideally, knowledge of electronics, Python and FPGA (VHDL) programming, interest in working with experts on a cross-institute
-
to prototype PCB or ASIC designs to improve the reliability and performance of interconnects for in-house and external projects. You will additionally be responsible for the training and supervision
-
years. Experience in detector development, electron microscopy, or data acquisition systems. Hands-on experience with high-speed imaging detectors, ASIC readout electronics, or radiation detection
-
implementing quality assurance and quality control (QA/QC) test Designing testbenches, and contributing to firmware programming for state-of-the-art FPGA architectures, primarily Intel FPGAs. Collaborating
-
-on experience in FPGA programming in VHDL or Verilog language and development of firmware for standalone microcontrollers or SoC chips Knowledge of I/O and communication standards, e.g., SPI, I2C, USB 2/3, PCIe
-
turbulence. Experience with GPU programming, FPGA, and DNN in image recognition is a great plus. Track record of publications and conference presentations. Experience with hands on lab work. FLSA Exempt Full
-
strong background in software development (Python, C++) and microscope control. • Experience FPGA programming is a beneficial. • Training and supervision will be provided throughout the project, but